KANAZAWA and KANATANI : INFINITY AND PLANARITY TEST FOR STEREO VISION
نویسندگان
چکیده
Introducing a mathematical model of noise in stereo images, we propose a new criterion for intelligent statistical inference about the scene we are viewing by using the geometric information criterion (geometric AIC). Using synthetic and real-image experiments, we demonstrate that a robot can test whether or not the object is located very far away or the object is a planar surface without using any knowledge about the noise magnitude or any empirically adjustable thresholds. key words: AIC, testing of hypotheses, model selection, stereo vision, in nity test, planarity test.
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